Senior Site Reliability Engineer

Ovii's Interpretation of the Role

We need a Senior Site Reliability Engineer to own the full lifecycle of our cloud‑native healthcare data platform, driving reliability, automation, and observability at scale.

Role Snapshot

• Own end‑to‑end operational lifecycle
• Design and enforce reliability standards
• Build and maintain IaC & CI/CD pipelines
• Lead incident response and post‑mortems
• Optimize autoscaling and cost efficiency

Must-Have Requirements

• GCP (GKE, Cloud Run)
• Terraform / Pulumi
• Docker / Kubernetes
• CI/CD (GitHub Actions)
• Python / Bash / Go
• Linux systems administration
• Observability platforms (Cloud Monitoring, Datadog, Grafana, Prometheus)
• SLI / SLO design
• Incident response & root‑cause analysis
• SRE
• DevOps
• Platform Engineering
• Infrastructure Engineering

Nice-to-Have Signals

• Healthcare domain familiarity
• AI‑assisted observability tooling
• Large‑scale distributed systems experience
• NodeJS / TypeScript / Java / React familiarity
• Healthcare provider data
• Large‑scale distributed systems
• Healthcare

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Employment type: Full-Time

What You'll Likely Work On

• Define and implement reliability standards, SLIs, SLOs, and alerting across the platform
• Automate infrastructure provisioning and configuration using Terraform or Pulumi
• Develop and maintain CI/CD pipelines that deliver containerized workloads to GKE and Cloud Run
• Monitor system health, reduce alert fatigue, and create actionable dashboards
• Lead incident response, root‑cause analysis, and post‑mortem processes
• Improve autoscaling policies and resource utilization for cost‑effective scaling
• Mentor engineering teams on reliability best practices and security hygiene
• Collaborate with product and compliance stakeholders to ensure data‑privacy requirements

Good Fit If You Have

• Strong written and verbal communication for cross‑functional audiences
• Experience influencing operational standards and mentoring teams
• Background with regulated or PII‑sensitive data environments